{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": "interactive(children=(IntSlider(value=9, description='n_colors', max=16, min=2), FloatSlider(value=0.0, descri…",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "ec30addcafb34ddca729ad6fa71d7e67"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "[[0.9312692223325372, 0.8201921796082118, 0.7971480974663592],\n [0.8888663743660877, 0.7106793139856472, 0.7158661451411206],\n [0.8314793143949643, 0.5987041921652179, 0.6530062709235388],\n [0.7588951019517731, 0.49817117746394224, 0.6058723814510268],\n [0.6672565752652589, 0.40671838146419587, 0.5620016466433286],\n [0.5529215689527474, 0.3217924564263954, 0.5093718054521851],\n [0.43082755198027817, 0.24984535814964698, 0.44393960899639856],\n [0.29794615023641036, 0.18145907625614888, 0.35317781405034754],\n [0.1750865648952205, 0.11840023306916837, 0.24215989137836502]]"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import seaborn as sbn\n",
    "\n",
    "# sbn.choose_colorbrewer_palette('q')\n",
    "\n",
    "sbn.choose_cubehelix_palette()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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